PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 953 words searched).

  1. un, dekiru ? %mov:"20118"_874311_875635 FAT · japanese_ishii/20118.cha, line 579 · Jun 2;01
  2. un, dekiru ka ? %mov:"20118"_976849_978142 FAT · japanese_ishii/20118.cha, line 631 · Jun 2;01
  1. japanese_ishii/20118.cha, line 579 · Jun, 2;1.18
    CHIkukuu te xxx . %mov:"20118"_870683_873015
    CHIkoko . %mov:"20118"_873015_874311
    FAT*FAT: un, dekiru ? %mov:"20118"_874311_875635
    FATo o, joozu ya nee . %mov:"20118"_875635_879258
    CHIa # n otete . %mov:"20118"_879258_884971
  2. japanese_ishii/20118.cha, line 631 · Jun, 2;1.18
    FATun . %mov:"20118"_975473_975988
    CHIkoko ? %mov:"20118"_975988_975988
    FAT*FAT: un, dekiru ka ? %mov:"20118"_976849_978142
    FATkuukuu@o shite . %mov:"20118"_978142_979522
    CHIhai . %mov:"20118"_979522_983753

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii2.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20118.chaJun 2;1.18953222.10

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. dekiru2 · 100.0%